Cargando…

Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature

Ageing is characterised at the molecular level by six transcriptional ‘hallmarks of ageing’, that are commonly described as progressively affected as time passes. By contrast, the ‘Smurf’ assay separates high‐and‐constant‐mortality risk individuals from healthy, zero‐mortality risk individuals, base...

Descripción completa

Detalles Bibliográficos
Autores principales: Zane, Flaminia, Bouzid, Hayet, Sosa Marmol, Sofia, Brazane, Mira, Besse, Savandara, Molina, Julia Lisa, Cansell, Céline, Aprahamian, Fanny, Durand, Sylvère, Ayache, Jessica, Antoniewski, Christophe, Todd, Nicolas, Carré, Clément, Rera, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652310/
https://www.ncbi.nlm.nih.gov/pubmed/37822253
http://dx.doi.org/10.1111/acel.13946
_version_ 1785136180930543616
author Zane, Flaminia
Bouzid, Hayet
Sosa Marmol, Sofia
Brazane, Mira
Besse, Savandara
Molina, Julia Lisa
Cansell, Céline
Aprahamian, Fanny
Durand, Sylvère
Ayache, Jessica
Antoniewski, Christophe
Todd, Nicolas
Carré, Clément
Rera, Michael
author_facet Zane, Flaminia
Bouzid, Hayet
Sosa Marmol, Sofia
Brazane, Mira
Besse, Savandara
Molina, Julia Lisa
Cansell, Céline
Aprahamian, Fanny
Durand, Sylvère
Ayache, Jessica
Antoniewski, Christophe
Todd, Nicolas
Carré, Clément
Rera, Michael
author_sort Zane, Flaminia
collection PubMed
description Ageing is characterised at the molecular level by six transcriptional ‘hallmarks of ageing’, that are commonly described as progressively affected as time passes. By contrast, the ‘Smurf’ assay separates high‐and‐constant‐mortality risk individuals from healthy, zero‐mortality risk individuals, based on increased intestinal permeability. Performing whole body total RNA sequencing, we found that Smurfness distinguishes transcriptional changes associated with chronological age from those associated with biological age. We show that transcriptional heterogeneity increases with chronological age in non‐Smurf individuals preceding the other five hallmarks of ageing that are specifically associated with the Smurf state. Using this approach, we also devise targeted pro‐longevity genetic interventions delaying entry in the Smurf state. We anticipate that increased attention to the evolutionary conserved Smurf phenotype will bring about significant advances in our understanding of the mechanisms of ageing.
format Online
Article
Text
id pubmed-10652310
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-106523102023-10-12 Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature Zane, Flaminia Bouzid, Hayet Sosa Marmol, Sofia Brazane, Mira Besse, Savandara Molina, Julia Lisa Cansell, Céline Aprahamian, Fanny Durand, Sylvère Ayache, Jessica Antoniewski, Christophe Todd, Nicolas Carré, Clément Rera, Michael Aging Cell Research Articles Ageing is characterised at the molecular level by six transcriptional ‘hallmarks of ageing’, that are commonly described as progressively affected as time passes. By contrast, the ‘Smurf’ assay separates high‐and‐constant‐mortality risk individuals from healthy, zero‐mortality risk individuals, based on increased intestinal permeability. Performing whole body total RNA sequencing, we found that Smurfness distinguishes transcriptional changes associated with chronological age from those associated with biological age. We show that transcriptional heterogeneity increases with chronological age in non‐Smurf individuals preceding the other five hallmarks of ageing that are specifically associated with the Smurf state. Using this approach, we also devise targeted pro‐longevity genetic interventions delaying entry in the Smurf state. We anticipate that increased attention to the evolutionary conserved Smurf phenotype will bring about significant advances in our understanding of the mechanisms of ageing. John Wiley and Sons Inc. 2023-10-12 /pmc/articles/PMC10652310/ /pubmed/37822253 http://dx.doi.org/10.1111/acel.13946 Text en © 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zane, Flaminia
Bouzid, Hayet
Sosa Marmol, Sofia
Brazane, Mira
Besse, Savandara
Molina, Julia Lisa
Cansell, Céline
Aprahamian, Fanny
Durand, Sylvère
Ayache, Jessica
Antoniewski, Christophe
Todd, Nicolas
Carré, Clément
Rera, Michael
Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
title Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
title_full Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
title_fullStr Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
title_full_unstemmed Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
title_short Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
title_sort smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652310/
https://www.ncbi.nlm.nih.gov/pubmed/37822253
http://dx.doi.org/10.1111/acel.13946
work_keys_str_mv AT zaneflaminia smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT bouzidhayet smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT sosamarmolsofia smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT brazanemira smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT bessesavandara smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT molinajulialisa smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT cansellceline smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT aprahamianfanny smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT durandsylvere smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT ayachejessica smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT antoniewskichristophe smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT toddnicolas smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT carreclement smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature
AT reramichael smurfnessbasedtwophasemodelofageinghelpsdeconvolvetheageingtranscriptionalsignature